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Specialized node for managing denoising during image upscaling, with gradual denoise level adjustments for refined outputs.
The DenoiseScheduleHookProvider
is a specialized node designed to manage the denoising process during image upscaling iterations. This node is particularly useful for AI artists looking to enhance the quality of their images by progressively adjusting the denoise level throughout the upscaling process. By implementing a simple scheduling mechanism, it ensures that the denoise parameter is smoothly transitioned, resulting in more refined and visually appealing outputs. The primary goal of this node is to provide a controlled and gradual denoising effect, which can significantly improve the final image quality, especially when dealing with high-resolution images.
This parameter determines the scheduling strategy for the denoising process. The available option is simple
, which applies a straightforward linear progression of the denoise value throughout the iterations. This ensures a smooth and consistent adjustment of the denoise level, contributing to a more polished final image.
This parameter sets the target denoise value that the node aims to achieve by the end of the iterations. It is a floating-point value with a default of 0.2, a minimum of 0.0, and a maximum of 1.0, with increments of 0.01. Adjusting this value allows you to control the intensity of the denoising effect, with lower values resulting in less denoising and higher values leading to more aggressive denoising.
The output of this node is a PK_HOOK
, which is a hook object that integrates into the upscaling process. This hook applies the scheduled denoising adjustments as defined by the input parameters, ensuring that the denoise level is progressively modified throughout the iterations. The hook's function is crucial for achieving the desired denoising effect and enhancing the overall image quality.
target_denoise
parameter to a lower value, such as 0.1 or 0.2. This will ensure that the denoising is not too aggressive, preserving more details in the image.target_denoise
value, such as 0.5 or 0.6, to effectively reduce the noise and produce a cleaner output.target_denoise
values to find the optimal balance between noise reduction and detail preservation for your specific image.schedule_for_iteration
parameter.schedule_for_iteration
parameter is set to simple
, as it is the only supported value.target_denoise
value is set outside the allowed range of 0.0 to 1.0.target_denoise
value to be within the range of 0.0 to 1.0, ensuring it adheres to the specified limits.© Copyright 2024 RunComfy. All Rights Reserved.